Data Ops is a new way of delivering data and analytics that is proven to get results. It enables IT and users to collaborate in the delivery of solutions that help organisations to embrace a data-driven culture. The Data Ops Revolution: Delivering the Data-Driven Enterprise is a narrative about real world issues involved in using Data Ops to make data-driven decisions in modern organisations. The book is built around real delivery examples based on the author’s own experience and lays out principles and a methodology for business success using Data Ops. Presenting practical design patterns and Data Ops approaches, the book shows how Data Ops projects are run and presents the benefits of using Data Ops to implement data solutions.
Best practices are introduced in this book through the telling of a story, which relates how a lead manager must find a way through complexity to turn an organisation around. This narrative vividly illustrates Data Ops in action, enabling readers to incorporate best practices into everyday projects. The book tells the story of an embattled CIO who turns to a new and untested project manager charged with a wide remit to roll out Data Ops techniques to an entire organisation. It illustrates a different approach to addressing the challenges in bridging the gap between IT and the business.
The approach presented in this story lines up to the six IMPACT pillars of the Data Ops model that Kinaesis (www.kinaesis.com) has been using through its consultants to deliver successful projects and turn around failing deliveries. The pillars help to organise thinking and structure an approach to project delivery. The pillars are broken down and translated into steps that can be applied to real-world projects that can deliver satisfaction and fulfillment to customers and project team members.
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